Comparison of SCORE and SCORE 2 risk prediction tools in contemporary very high risk european population

Abstract Background New SCORE 2 algorithm overperformed in population with decreasing prevalence of cardiovascular (CV) morbidity and mortality. However, there is limited data risk stratification model contemporary populations from very high countries. Aim The aim this study was to compare prediction using the proportions patients requiring statin treatment primary prevention. Methods Our included 1317 (511, 38.8% male gender, average age 54±8) without known CV disease aged 40 70 years. Data on factors were prospectively collected 20 care centers throughout Serbia January 2020. December Based profile, stratified into 4 categories: low, moderate, according 3 low model. number assessed category value LDL cholesterol non-HDL Results Overall, 589 (44.7%) smokers, mean total 6.2±1.1 mmol/L, 3.9±1.1, HDL 1.4±0.5, non 4.8±1.2 mmol/L. Systolic blood pressure 138.6±19.6, diastolic 85.3±10.4 mmHg BMI 26.9±5.2. 166 (12.6%) classified category, 658 (49.9%) 276 (20.9%) 217 (16.6%) category. 30 (2.8%) 273 (18%) 1014 (79.2%) There significantly less moderate group compared (30, 2.8% vs 824, 62.6%, p<0.001 respectively) more (1014, 79.2% 217, 16.6%, p<0.001), but significance difference (Figure 1). use resulted higher proportion 93% vs. 43% (p<0.001). Conclusion tool, comparison model, results significant being as increase Funding Acknowledgement Type funding sources: Private company. Main source(s): Krka Farma